FIELD NOTES TOPIC

model discovery

2 notes, newest first.

  1. Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models

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    The text introduces the Model Discovery Agent (MDA), a system designed to efficiently discover mechanistic, causal models from minimal interventions using a large language model (LLM) and Bayesian methods. The MDA…

  2. An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery

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    The researchers propose an experimental design framework to systematically evaluate the autonomous model discovery behavior of large language model coding agents, like Codex and Claude Code. The framework considers…